Shazia Ruybal-Pesántez
4 months ago
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Postdoctoral Researcher in Malaria Computational Epidemiology and Genomic Epidemiology Barcelona Institute for Global Health in Spain
Degree Level
Postdoc
Field of study
Computer Science
Funding
Postdoctoral contract for 18 months in the first instance, with possibility of renewal depending on funding. Salary is 30.656€ gross annual. The role includes career development support such as conference travel, consortia participation, training workshops, mentorship, and opportunities to develop independent research ideas within the programme.
Deadline
Expired
Country
Spain
University
Barcelona Institute for Global Health

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About this position
Barcelona Institute for Global Health (ISGlobal) is recruiting a Postdoctoral Research Fellow in malaria computational epidemiology to work on the project CONTRA-MAL: Connecting the dots in malaria transmission dynamics: inferring transmission networks by integrating genetics and epidemiology, funded by a Fundación “la Caixa” Junior Leader Fellowship.
The position sits at the intersection of genomic epidemiology, computational epidemiology, statistical modelling, infectious disease modelling, and public health surveillance. The successful candidate will develop and apply computational methods to infer malaria transmission dynamics by integrating parasite genetic data with epidemiological data. The work includes transmission network inference, outbreak dynamics, diffusion-based modelling, simulation-based validation, and open-source R package development.
You will work closely with Dr Shazia Ruybal-Pesántez, a Genomic and Computational Epidemiologist and Research Group Lead at ISGlobal, within the Malaria and Neglected Parasitic Diseases Program. The project also involves collaboration with international partners including Imperial College London, Menzies School of Health Research, UNC Chapel Hill, and malaria programme partners across Africa and the Asia-Pacific region.
Eligibility highlights: a PhD in a quantitative field such as statistics, biostatistics, computational epidemiology, applied mathematics, infectious disease modelling, computer science, or a related area; strong coding and quantitative skills; proficiency in R and/or Python; experience with complex epidemiological/genomic datasets; and fluency in English. Experience with pathogen genomic epidemiology, bioinformatics, transmission modelling, network models, spatio-temporal modelling, or open-source software development is highly desirable.
Funding and conditions: 18-month contract in the first instance, renewable depending on funding, with a gross annual salary of 30.656€. The role also offers career development support including conference travel, training workshops, mentorship, and opportunities for independent research ideas.
Application window: applications are open until 3 July 2026 and are reviewed on a rolling basis. Applicants must submit an application form, CV, cover letter, and contact details for two professional references.
Funding details
Postdoctoral contract for 18 months in the first instance, with possibility of renewal depending on funding. Salary is 30.656€ gross annual. The role includes career development support such as conference travel, consortia participation, training workshops, mentorship, and opportunities to develop independent research ideas within the programme.
What's required
PhD in statistics, biostatistics, computational epidemiology, applied mathematics, infectious disease modelling, computer science, or a related quantitative field. Strong quantitative and coding skills are required, with hands-on experience developing or applying statistical, mathematical, or computational models and proficiency in R and/or Python. Applicants should have experience with complex epidemiological, genetic, genomic, spatial, temporal, or other biological datasets, and familiarity with open-source scientific software practices such as collaborative coding, documentation, testing, version control, modular pipelines, and reproducible workflows. A track record of peer-reviewed publications is expected, along with strong communication skills and fluency in English. Strong interest in public health, infectious diseases, and/or vector-borne pathogen epidemiology is required; experience in pathogen genomic epidemiology, population genetics, bioinformatics, transmission modelling, outbreak analytics, network models, diffusion processes, spatio-temporal modelling, Stan, NumPyro, TensorFlow, R package development, malaria epidemiology, Plasmodium genomics, or P. vivax relapse biology is desirable.
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